Sales
B2B Customer Churn Prediction with Machine Learning
AI that identifies at-risk customers 60 days before they leave
Problem
Current situation
Losing 20% of customers each year without warning signals. Cancellations discovered too late to act. High acquisition costs wasted.
20% churn/year (€80k in lost revenue)
No early warning signals
Reactive, not proactive retention actions
CAC wasted on lost customers
Solution
How AI solves the problem
AI that analyses product usage, support interactions, payments and behaviours to predict the risk of churn 60 days in advance. Automatic alerts with retention recommendations.
Churn risk scoring per customer
60-day advance prediction
Multi-signal analysis (usage, support, payment)
Automatic alerts to account managers
Retention action recommendations
FAQ
Frequently asked questions
Implementation time?
Between 1 and 8 weeks depending on your infrastructure.
What ROI to expect?
Positive ROI within 3-6 months thanks to operational savings.
For what company size?
SMEs, Large enterprises. Solution adapted to your scale.
Impact
Measurable results
Annual churn
Before20%
After8%
-60%
Revenue preserved
Before0€
After48k€/an
Économisé
Retention rate
Before50%
After85%
+70%
Alert lead time
Before0 jour
After60 jours
Proactif